 [1]} proposed a multi-task deep learning method called HyperFace for simultaneously detecting faces, localizing landmarks, estimating head pose and identifying gender using deep convolution neural networks (DCNNs). Their proposed method fuses the intermediate layers of a deep CNN using a separate CNN followed by a multi-task learning algorithm that operates on the fused features, this allowed the method to capture both global and local features of the targeted face image, which achieved high results.
